Interior Point Approach to Linear, Quadratic and Convex Programming: Algorithms and Complexity: Mathematics and Its Applications, cartea 277
Autor D. den Hertogen Limba Engleză Paperback – 10 oct 2012
For specialists in IPMs as well as those seeking an introduction to IPMs. The book is accessible to any mathematician with basic mathematical programming knowledge.
Toate formatele și edițiile | Preț | Express |
---|---|---|
Paperback (1) | 373.39 lei 6-8 săpt. | |
SPRINGER NETHERLANDS – 10 oct 2012 | 373.39 lei 6-8 săpt. | |
Hardback (1) | 380.47 lei 6-8 săpt. | |
SPRINGER NETHERLANDS – 31 mar 1994 | 380.47 lei 6-8 săpt. |
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Specificații
ISBN-13: 9789401044967
ISBN-10: 9401044961
Pagini: 228
Ilustrații: XII, 210 p.
Dimensiuni: 160 x 240 x 12 mm
Greutate: 0.33 kg
Ediția:Softcover reprint of the original 1st ed. 1994
Editura: SPRINGER NETHERLANDS
Colecția Springer
Seria Mathematics and Its Applications
Locul publicării:Dordrecht, Netherlands
ISBN-10: 9401044961
Pagini: 228
Ilustrații: XII, 210 p.
Dimensiuni: 160 x 240 x 12 mm
Greutate: 0.33 kg
Ediția:Softcover reprint of the original 1st ed. 1994
Editura: SPRINGER NETHERLANDS
Colecția Springer
Seria Mathematics and Its Applications
Locul publicării:Dordrecht, Netherlands
Public țintă
ResearchCuprins
1 Introduction of IPMs.- 1.1 Prelude.- 1.2 Intermezzo: Complexity issues.- 1.3 Classifying the IPMs.- 1.4 Scope of the book.- 2 The logarithmic barrier method.- 2.1 General framework.- 2.2 Central paths for some examples.- 2.3 Linear programming.- 2.4 Convex quadratic programming.- 2.5 Smooth convex programming.- 2.6 Miscellaneous remarks.- 3 The center method.- 3.1 General framework.- 3.2 Centers for some examples.- 3.3 Linear programming.- 3.4 Smooth convex programming.- 3.5 Miscellaneous remarks.- 4 Reducing the complexity for LP.- 4.1 Approximate solutions and rank-one updates.- 4.2 Adding and deleting constraints.- 5 Discussion of other IPMs.- 5.1 Path-following methods.- 5.2 Affine scaling methods.- 5.3 Projective potential reduction methods.- 5.4 Affine potential reduction methods.- 5.5 Comparison of IPMs.- 6 Summary, conclusions and recommendations.- Appendices.- A Self-concordance proofs.- A.1 Some general composition rules.- A.2 The dual geometric programming problem.- A.3 The extended entropy programming problem.- A.4 The primal 4-programming problem.- A.5 The dual 4-programming problem.- A.6 Other smoothness conditions.- B General technical lemmas.
Recenzii
`This book presents a general and rigorous foundation for solving nonlinear convex optimization problems. The book is well and clearly written. It is comprehensive and well-balanced ... excellent text for an advanced or seminar course on optimization, primarily addressed to graduate students in mathematics, pure or applied, computer science and engineering schools. ... researchers will also find it a valuable reference because the theorems contained in many of its sections represent the current state of the art. ... extensive bibliographic section is another strong point of the book, quite complete and up to date. I believe this work will remain a basic reference for whomever is interested in convex optimization for years to come. '
Optima, 47, 1995
Optima, 47, 1995